GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis

arXiv cs.CV1mo4 min read

arXiv:2606.30901v2 Announce Type: new Abstract: Prototype-based medical image classifiers present three clinical limitations: they treat findings as independent, silently amplify unsafe physician feedback, and require full retraining whenever a new finding is needed. We present GRAPE (Graph-Augmented Prototype Explanations), a unified architecture that addresses all three challenges. First, a Graph Attention Task Head models anatomical concept co-occurrence, boosting macro-F1 by +13.8,pp over the prototype baseline on TBX11K. Second, a Concept-Mismatch Safety Check - the first such mechanism i

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GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis

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